aweijx's repositories

Tank-Temples_advanced_cams

坦克与寺庙数据集advanced集合相机参数

Stargazers:0Issues:0Issues:0

awesome-point-cloud-registration

A curated list of point cloud registration.

Stargazers:0Issues:0Issues:0

PointDSC

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

Stargazers:0Issues:0Issues:0

MMW_YNU

云南大学X腾讯 小程序挑战赛参赛作品。一站式校园学习生活整合平台

Language:PythonLicense:Apache-2.0Stargazers:2Issues:0Issues:0

MathModel

研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT

License:MITStargazers:0Issues:0Issues:0

FightRoute

“华为杯”第十六届**研究生数学建模F题 国家一等奖

License:MITStargazers:0Issues:0Issues:0

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

License:Apache-2.0Stargazers:0Issues:0Issues:0

Mango

微信小程序|校园|表白墙|失物招领|二手交易|论坛|兼职|拼车|活动等

License:GPL-2.0Stargazers:0Issues:0Issues:0

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

License:MITStargazers:0Issues:0Issues:0
Language:HTMLStargazers:1Issues:0Issues:0

H-DenseUNet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Stargazers:0Issues:0Issues:0

CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Stargazers:0Issues:0Issues:0

Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

License:MITStargazers:0Issues:0Issues:0

searchUI

searchUI 微信小程序 搜索组件 一款非常漂亮的搜索UI

Stargazers:0Issues:0Issues:0

RM-computer-vision

Robomaster装甲板识别

Language:C++Stargazers:1Issues:0Issues:0

colorzation

Colorizing B&W Photos with Neural Networks

Stargazers:1Issues:0Issues:0

IoT-Firstep

一个物联网(IoT)开发的入门教程。涉及单片机、上位机、移动应用、服务器后台开发的知识。以及蓝牙4.0、以太网模块的使用实例。

License:GPL-3.0Stargazers:1Issues:0Issues:0

NSGA-II

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

License:MITStargazers:1Issues:0Issues:0

BLE

✨Android BLE基础操作框架,基于回调,操作简单。包含扫描、多连接、广播包解析、服务读写及通知等功能。

License:Apache-2.0Stargazers:1Issues:0Issues:0